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Eyenovia is a clinical stage, biopharmaceutical company transforming the delivery of therapeutics for the treatment of prominent eye diseases, such as glaucoma, dry eyes, allergic eye disease and many others. Eyenovia`s breakthrough piezo-dispersion and microdosing technology enable a portfolio of first-in-class, next-generation, micro-therapeutics for the eye designed to reduce ocular and systemic toxicity and improve the risk-benefit profile of both new and existing therapeutics.
Aviva Labs Inc is a Waltham, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Predictive Biosciences is an innovative developer of molecular diagnostic tests for cancer diagnosis and monitoring. We are focused on understanding and meeting the needs of physicians by providing valuable diagnostic services and laboratory solutions.
CTI was founded on the belief that a coalition between unique scientific technology and its strong desire to “do right” by the patient could help us achieve our mission to acquire, develop and bring to market less toxic, more effective therapies to treat and cure cancer. We strive to do business better than other biopharmaceutical companies. Better means a more collaborative, well-trained team environment willing to institute novel approaches to scientific discovery and business opportunities. A willingness to push the limits to achieve challenging goals is the essential attribute that sets CTI employees apart.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.